ITSC 2025 Paper Abstract

Paper WE-EA-T3.4

Lao, Xinyun (Tongji University), Shen, Yu (Tongji University), LIU, GANG (Southwest Jiaotong University), Zhang, Allen (Southwest Jiaotong University), Du, Yu-chuan (Tongji University)

Real-Time V2X Expressway Traffic Control System for Proactive Black Ice Mitigation Via Vehicle-Induced Thermal Feedback

Scheduled for presentation during the Regular Session "S03b-Connected Vehicle Technologies and Intelligent Infrastructure Systems" (WE-EA-T3), Wednesday, November 19, 2025, 14:30−14:50, Southport 3

2025 IEEE 28th International Conference on Intelligent Transportation Systems (ITSC), November 18-21, 2025, Gold Coast, Australia

This information is tentative and subject to change. Compiled on October 19, 2025

Keywords Vehicle-to-Infrastructure (V2I) and Vehicle-to-Vehicle (V2V) Communication Applications for Traffic Management, Smart Roadway Networks with IoT-enabled Sensors and Real-time Data Analytics

Abstract

Black ice on expressways poses a serious traffic safety hazard due to its low visibility, rapid formation, and extremely slippery surface. Traditional mitigation measures, such as expressway closures, ensure maximum safety but cause significant traffic disruptions and underutilize road capacity. Leveraging recent advances in vehicle-to-everything (V2X) technology, this study proposes a real-time traffic control system that harnesses vehicle-induced heat to mitigate black ice. In the proposed system, smart infrastructure, intelligent connected vehicles (ICVs), and a cloud control center communicate via a low-latency V2X network. The cloud center regulates ICV speeds based on real-time road surface conditions and traffic states. An adaptive variable speed limit strategy is implemented, integrating a braking safety model and a modified cell transmission model that considers both road friction and traffic flow dynamics. Thermodynamic interactions between vehicles and the road are quantified, whereby vehicle-induced heat facilitates localized black ice melting. To evaluate system performance, an agent-based simulation model is developed using real-world data from the Wuyu Expressway in Shanxi, China. Results demonstrate that the proposed system significantly reduces black ice thickness and enhances traffic flow without requiring expressway closures.